Triple

T1866906
Position Surface form Disambiguated ID Type / Status
Subject SMTP AUTH E34941 entity
Predicate supportsMechanism P10222 FINISHED
Object NTLM E196384 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: NTLM | Statement: [SMTP AUTH, supportsMechanism, NTLM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NTLM
Context triple: [SMTP AUTH, supportsMechanism, NTLM]
  • A. NTLM chosen
    NTLM is a Microsoft authentication protocol used to validate users and secure access in Windows-based networks and services.
  • B. Kerberos
    Kerberos is a small, irregularly shaped moon of Pluto discovered in 2011 as part of the Pluto system’s complex family of satellites.
  • C. Kerberos
    Kerberos is a network authentication protocol that uses secret-key cryptography to securely verify the identity of users and services in distributed systems.
  • D. NTL
    NTL was a major UK cable television and telecommunications company that became part of Virgin Media following a series of mergers and rebrandings.
  • E. SMB
    SMB (Server Message Block) is a network file sharing protocol widely used in Windows environments to enable shared access to files, printers, and other network resources.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb0b5978c81909390f2cbd716ccaf completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1d8dd8881909189029a047bc2b4 completed March 8, 2026, 7:45 p.m.
Created at: March 4, 2026, 7:34 p.m.